Tiarnán D L Keenan

ORCID: 0000-0002-2253-1772
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About
Contact & Profiles
Research Areas
  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Retinal and Optic Conditions
  • Ophthalmology and Visual Impairment Studies
  • Optical Coherence Tomography Applications
  • melanin and skin pigmentation
  • Antioxidant Activity and Oxidative Stress
  • Retinal Development and Disorders
  • Cerebral Venous Sinus Thrombosis
  • Ocular Diseases and Behçet’s Syndrome
  • Proteoglycans and glycosaminoglycans research
  • Nutritional Studies and Diet
  • Ocular Oncology and Treatments
  • Topic Modeling
  • Dye analysis and toxicity
  • Cancer, Hypoxia, and Metabolism
  • Corneal surgery and disorders
  • Digital Imaging for Blood Diseases
  • Artificial Intelligence in Healthcare
  • Neurological Disease Mechanisms and Treatments
  • Systemic Lupus Erythematosus Research
  • Glycosylation and Glycoproteins Research
  • Hallucinations in medical conditions
  • Intraocular Surgery and Lenses

National Eye Institute
2017-2025

National Institutes of Health
2017-2025

National Center for Biotechnology Information
2023

Moorfields Eye Hospital NHS Foundation Trust
2022

University College London
2022

Tel Aviv Sourasky Medical Center
2021

Research Applications (United States)
2020

University of Manchester
2010-2018

Manchester Royal Eye Hospital
2010-2016

University of Utah
2015

Emily Y. Chew Traci E. Clemons Elvira Agrón Amitha Domalpally Tiarnán D L Keenan and 92 more Susan Vitale Claire Weber Douglas C. Smith William G. Christen John Paul SanGiovanni Federick L Ferris Ronald P. Danis Barbara A. Blodi Alan Ruby Andrew N. Antoszyk Ronald Klein Ivana K. Kim Gary E. Fish Wai T. Wong David H. Orth Kourous A. Rezaei Susan B. Bressler GB Hubbard Michael J. Elman Suresh Chandra Thomas R. Friberg Michael Tolentino Darmakusuma Le Mary B. Lansing Jay B. Stallman Paul Edwards Carl W. Baker Michael Novák Ricky D. Isernhagen Todd E. Schneiderman Lawrence S. Halperin Michael H. Lee David S. Boyer Philip J. Rosenfeld Pamela Rath Marc H. Levy Robert H. Rosa John C. Hoskins Clement K. Chan David M. Brown Craig M. Greven J Michael Jumper Linda J. Margulies William N. Rosenthal Richard B. Rosen Glenn Stoller Fadi El Baba W. Copley McLean Ronald Kingsley Alice T. Lyon Jeffrey S. Heier Anne E. Fung Ingrid U. Scott John A. Wells Michael J. Banach Paul M. Beer James C. Folk Joseph I. Maguire Srinivas R. Sadda Richard A. Garfinkel Judy E. Kim Paul Berstein Michael Rauser Richard A. Lewis Barron C. Fishburne Susan S. Huang Nelson R. Sabates Nicola Kim Robert N. Frank Brian C. Joondeph Odette M. Houghton Dean P. Hainsworth Edward Chaum Robert H. Millay Raymond Iezzi Rajendra S. Apte Ron A. Adelman Anita Agrawal Neelakshi Bhagat Lawrence Ulanski Steven D. Schwartz Cynthia Owsley Alan Letson Yu-Guang He Cynthia A. Toth Lawrence S. Morse Michael J. Cooney Sandeep Grover Henry Ferreyra Alexander J. Brucker David DiLoreto Aaron Weinberg

After the Age-Related Eye Disease Study 2 (AREDS2) study, beta carotene component was replaced by lutein/zeaxanthin for development of revised AREDS supplement. However, it is unknown if increased risk lung cancer observed in those assigned persists beyond conclusion AREDS2 trial and there a benefit adding to original supplement that can be with long-term follow-up.To assess 10-year developing late age-related macular degeneration (AMD).This multicenter epidemiologic follow-up study clinical...

10.1001/jamaophthalmol.2022.1640 article EN JAMA Ophthalmology 2022-06-02
Tiarnán D L Keenan Elvira Agrón Amitha Domalpally Traci E. Clemons Freekje van Asten and 95 more Wai T. Wong Ronald Danis Srinivas R. Sadda Philip J. Rosenfeld Michael L. Klein Rinki Ratnapriya Anand Swaroop Frederick L. Ferris Emily Y. Chew Emily Y. Chew Frederick L. Ferris John Paul SanGiovanni Elvira Agrón Traci E. Clemons Anne S. Lindblad Robert Lindblad Nilay S. Shah Robert D. Sperduto Wendy L. McBee Gary Gensler Molly Harrington Alice Henning Katrina Jones Kumar Thotapally Diana Tull Valerie Watson Kayla Williams Christina Gentry Francine Kaufman Christopher N. Morrison Elizabeth Saverino Sherrie Schenning Barbara Blodi Ronald P. Danis Matthew Davis Amitha Domalpally Kathy Glander Gregory Guilfoil Larry D. Hubbard Kristine A. Johnson Ronald Klein Barbara Nardi Michael W. Neider N. Edward Robinson Eileen Rosensteel Hugh Wabers Grace Zhang Alan Ruby Antonio Capone Bawa Dass Kimberly A. Drenser Bruce R. Garretson T. Hassan Michael T. Trese George A. Williams Jeremy D. Wolfe Tina Bell Mary Zajechowski Dennis Bezaire Fran McIver Anthony Medina Jackie Pagett Stephanie Hatch Smith Lynn Swartz Tom Treuter Andrew N. Antoszyk Justin C. Brown David J. Browning Walter Holland Angella S. Karow Kelly Stalford Angela Price Sarah Ennis Sherry L. Fredenberg Jenna Herby Uma Balasubramaniam Loraine Clark Donna McClain Michael McOwen Lynn Watson Michael L. Klein Steven T. Bailey Thomas J. Hwang Andreas Lauer J. Timothy Stout Patty McCollum Milt Johnson Patrick B. Rice Ivana K. Kim John I. Loewenstein Joan W. Miller Lucia Sobrin Lucy H. Young Jacqueline Sullivan Patricia Houlihan

10.1016/j.ophtha.2018.05.028 article EN publisher-specific-oa Ophthalmology 2018-07-27

Purpose.: To map the distribution of different classes glycosaminoglycans (GAGs) in healthy human retina, choroid, and sclera. Methods.: Frozen tissue sections were made from adult donor eyes. The GAG chains proteoglycans (PGs) detected with antibodies directed against various structures (either directly or after pretreatment GAG-degrading enzymes); hyaluronan (HA) was using biotinylated recombinant G1-domain versican. primary detection reagents identified FITC-labeled probes analyzed by...

10.1167/iovs.11-7909 article EN Investigative Ophthalmology & Visual Science 2011-07-12

PurposeTo apply a deep learning algorithm for automated, objective, and comprehensive quantification of OCT scans to large real-world dataset eyes with neovascular age-related macular degeneration (AMD) make the raw segmentation output data openly available further research.DesignRetrospective analysis images from Moorfields Eye Hospital AMD Database.ParticipantsA total 2473 first-treated 493 second-treated that commenced therapy between June 2012 2017.MethodsA was used segment all baseline...

10.1016/j.ophtha.2020.09.025 article EN cc-by Ophthalmology 2020-09-25

Purpose: To examine relationships between retinal structure and visual function in geographic atrophy (GA) by analyzing spatial agreement absolute scotomas macular structure, focusing on (1) choroidal hypertransmission, a key feature of complete pigment epithelium outer (cRORA), (2) fundus autofluorescence (FAF)–defined GA. Methods: Mesopic microperimetry (using novel T-shaped pattern) multimodal imaging were recorded longitudinally phase II GA trial. Horizontal vertical optical coherence...

10.1167/tvst.14.2.7 article EN cc-by-nc-nd Translational Vision Science & Technology 2025-02-05

The potential association between age-related macular degeneration (AMD) and Alzheimer disease (AD) is uncertain has implications for understanding pathogenesis, referral, treatments.To determine whether individuals admitted to the hospital with AMD were significantly more or less likely develop AD dementia in following years, as well assess people be treatment years diagnosis of dementia.An cohort 65,894 was constructed from English National Health Service, linked episode statistics January...

10.1001/jamaophthalmol.2013.5696 article EN JAMA Ophthalmology 2013-11-14

To examine the presence and distribution of proteoglycan (PG) core proteins in adult human retina, choroid, sclera.Postmortem eye tissue was dissected into Bruch's membrane/choroid complex, isolated membrane, or neurosensory retina. PGs were extracted partially purified by anion exchange chromatography. Trypsinized peptides analyzed tandem mass spectrometry PG identified database search. The examined immunofluorescence microscopy on macular sections.The basement membrane perlecan, agrin,...

10.1167/iovs.12-10797 article EN Investigative Ophthalmology & Visual Science 2012-10-18

By 2040, age-related macular degeneration (AMD) will affect ~288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-threatening stage, is critical for clinical actions, including medical interventions and timely monitoring. Although deep learning has shown promise in diagnosing/screening AMD using color fundus photographs, it remains difficult predict individuals' risks accurately. For both tasks, these initial attempts have remained largely...

10.1038/s41746-020-00317-z article EN cc-by npj Digital Medicine 2020-08-27

To describe past trends and future projections for the number of intravitreal injections being administered at a large tertiary hospital in London, United Kingdom.Retrospective data from Moorfields Eye Hospital were collected using electronic medical record system. Descriptive statistics used to visualise overall trends. Time series forecasting was predict that will be up including year 2029.The has increased nearly 11-fold 2009 2019, with total 44,924 delivered 2019. The majority given...

10.1038/s41433-021-01646-3 article EN cc-by Eye 2021-06-25

To evaluate longitudinally the performance of Notal Vision Home OCT (NVHO), comprising a spectral-domain device for patient self-imaging at home, telemedicine infrastructure automated data upload, and deep learning algorithm evaluation. The aims were to study system's in daily image acquisition analysis characterize dynamics retinal fluid exudation neovascular age-related macular degeneration (nAMD).Pilot prospective, observational longitudinal study.Four individuals (mean age, 73.8 years)...

10.1016/j.xops.2021.100034 article EN cc-by-nc-nd Ophthalmology Science 2021-06-01

Introduction - Retinal layer segmentation in optical coherence tomography (OCT) images is an important approach for detecting and prognosing disease. Automating using robust machine learning techniques lead to computationally efficient solutions significantly reduces the cost of labor-intensive labeling, which traditionally performed by trained graders at a reading center, sometimes aided semi-automated algorithms. Although several algorithms have been proposed since revival deep learning,...

10.1364/boe.450193 article EN cc-by Biomedical Optics Express 2022-03-18

Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability accessibility cataract screening. In present study, we report development and validation a retinal photograph-based, deep-learning algorithm for automated detection visually cataracts, using more than 25,000 images from population-based studies. internal test set, area under receiver operating characteristic...

10.1038/s43587-022-00171-6 article EN cc-by Nature Aging 2022-02-21
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